{"id":88709,"date":"2026-07-10T08:00:00","date_gmt":"2026-07-10T06:00:00","guid":{"rendered":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/"},"modified":"2026-08-21T10:57:23","modified_gmt":"2026-08-21T08:57:23","slug":"wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig","status":"publish","type":"knowledge","link":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/","title":{"rendered":"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig?"},"content":{"rendered":"<p>As a leader, properly evaluating an AI project means systematically weighing benefits, risks, and feasibility against each other before resources are approved. The crucial difference from other investment decisions is that AI projects often deliver hard-to-predict outcomes while simultaneously triggering significant organisational change. The following questions help you think through the most important evaluation dimensions in a structured way.<\/p>\n<h2>What criteria determine the success of an AI project?<\/h2>\n<p>The success of an AI project depends on four core criteria: a clearly defined problem that AI can actually solve, sufficiently good data, realistic goals, and an organisation ready to carry the changes. If any one of these elements is missing, even technically sophisticated AI solutions fail in practice.<\/p>\n<p>Before approving an AI project, you should be able to answer the following questions concretely:<\/p>\n<ul>\n<li><strong>Problem clarity:<\/strong> What specific problem or opportunity should AI address? The more precise the answer, the better success can be measured later.<\/li>\n<li><strong>Data availability:<\/strong> Is the required data available, accessible, and of sufficient quality?<\/li>\n<li><strong>Measurable goals:<\/strong> Are there concrete, measurable success criteria, for example time savings, error reduction, or customer satisfaction?<\/li>\n<li><strong>Organisational readiness:<\/strong> Are the affected teams ready to adopt new processes, and are there clear lines of responsibility?<\/li>\n<\/ul>\n<p>According to the approach of ISO 42001, the international standard for AI management systems, AI objectives must align with the overarching organisational strategy, be measurable, and be reviewed regularly. This gives leaders a solid framework not only to launch projects but to manage them sustainably.<\/p>\n<h2>How does evaluating AI projects differ from evaluating classic IT projects?<\/h2>\n<p>AI projects differ from classic IT projects primarily in that their outcomes are harder to predict, data requirements play a central role, and success depends heavily on human behaviour. While a classic IT project delivers a defined output, an AI system learns continuously and changes its behaviour over time.<\/p>\n<p>In concrete terms, this means for evaluation:<\/p>\n<ul>\n<li><strong>Plan for uncertainty:<\/strong> AI models deliver probabilities, not guarantees. Evaluation models must reflect ranges rather than fixed outcomes.<\/li>\n<li><strong>Data as a critical resource:<\/strong> Without sufficiently good data, no AI project works. The data strategy must be part of the project evaluation.<\/li>\n<li><strong>Change management as a success factor:<\/strong> AI fundamentally changes workflows. Employee acceptance often determines project success more than the technology itself.<\/li>\n<li><strong>Iterative development:<\/strong> AI projects evolve in cycles. A single sign-off as with classic software is not sufficient.<\/li>\n<\/ul>\n<p>Leaders who evaluate AI projects by classic project management standards frequently underestimate these particularities and thereby set unrealistic expectations.<\/p>\n<h2>What risks do leaders need to factor in with AI projects?<\/h2>\n<p>With AI projects, leaders must simultaneously keep an eye on technical, legal, ethical, and organisational risks. Particularly relevant are data protection violations, erroneous model outputs with far-reaching consequences, and compliance requirements arising from the EU AI Act.<\/p>\n<h3>Technical and operational risks<\/h3>\n<p>AI models can deliver faulty or biased results when training data is incomplete or not representative. Integrating AI solutions into existing systems also carries technical risks that must be assessed before the project begins. A structured incident management process helps identify and resolve problems at an early stage.<\/p>\n<h3>Legal and compliance risks<\/h3>\n<p>The EU AI Act classifies certain AI systems as high-risk and obliges organisations to meet extensive governance and documentation requirements. Leaders must check at an early stage whether planned AI applications fall into this category. In addition, data protection requirements under the GDPR apply and must be consistently observed when personal data is processed by AI systems. Supplier contracts should be reviewed for security and compliance standards before external AI solutions are deployed.<\/p>\n<h2>When is an AI project worthwhile and when is it not?<\/h2>\n<p>An AI project is worthwhile when it solves a clearly identified problem with a measurable value contribution, the technical and data-related prerequisites are met, and the effort required for implementation and operation is in a realistic proportion to the expected benefit. It is not worthwhile when AI is used as an end in itself or when a simpler tool would do the job just as well.<\/p>\n<p>Tasks particularly well suited to AI share the following characteristics:<\/p>\n<ul>\n<li>Repetitive, manual activities that keep employees from more strategic tasks, for example summarising meeting notes, extracting invoice data, or answering recurring enquiries<\/li>\n<li>Tasks that require analysing large volumes of data, such as anomaly detection or quality control<\/li>\n<li>Areas where personalised communication or dynamic decisions deliver a clear competitive advantage<\/li>\n<\/ul>\n<p>AI is less suitable, however, when data is lacking, processes are not yet standardised, or the organisation does not yet have the maturity to critically interpret and use AI-driven results.<\/p>\n<h2>How do you measure the ROI of an AI project realistically?<\/h2>\n<p>Measuring the ROI of an AI project realistically requires capturing both quantitative and qualitative benefit dimensions and consistently comparing them with actual costs. Leaders should plan for a time horizon of at least 12 to 24 months, as many AI investments only reach their full value as usage and the data base grow.<\/p>\n<p>A structured ROI assessment involves the following steps:<\/p>\n<ol>\n<li><strong>Define benefit categories:<\/strong> Efficiency gains through automation, quality improvements, time savings, revenue potential, or risk avoidance<\/li>\n<li><strong>Capture costs in full:<\/strong> Licence and infrastructure costs, implementation effort, training costs, ongoing operations, and quality assurance<\/li>\n<li><strong>Establish metrics:<\/strong> Concrete KPIs defined before the project starts and reviewed regularly after go-live<\/li>\n<li><strong>Establish monitoring:<\/strong> Ongoing tracking of benefits, costs, and risks to adjust the strategy as needed<\/li>\n<\/ol>\n<p>It is important that ROI is not calculated as a one-off figure at the end of the project, but as a continuous process. AI systems change, and with them their value contribution changes too.<\/p>\n<h2>What competencies do leaders need to steer AI projects?<\/h2>\n<p>Leaders do not need deep technical AI knowledge to steer AI projects successfully. They do, however, need a solid understanding of what AI can and cannot do, how AI risks are assessed, and how governance structures are built that ensure responsible decisions.<\/p>\n<p>In concrete terms, this covers the following competency areas:<\/p>\n<ul>\n<li><strong>Strategic AI competency:<\/strong> Identifying, prioritising, and embedding AI use cases in the corporate strategy<\/li>\n<li><strong>Risk assessment:<\/strong> Evaluating technical, legal, and ethical risks, particularly in the context of the EU AI Act and ISO 42001<\/li>\n<li><strong>AI governance:<\/strong> Defining responsibilities, establishing AI policies, and ensuring compliance requirements are met<\/li>\n<li><strong>Change management:<\/strong> Guiding employees through change, recognising resistance early, and building AI competency within the team<\/li>\n<li><strong>Results evaluation:<\/strong> Critically interpreting AI outputs, understanding quality assurance, and making well-founded decisions based on AI results<\/li>\n<\/ul>\n<p>Leaders who <a href=\"https:\/\/www.mitsm.de\/schulung\/ki-kompetenz\/\">purposefully learn AI fundamentals<\/a> are significantly better positioned to assess AI projects realistically, ask the right questions, and guide their team through the transformation.<\/p>\n<h2>How we at mITSM support leaders in evaluating AI<\/h2>\n<p>We at mITSM offer structured training and development programmes that meet leaders exactly where the challenge lies: building a well-founded AI understanding that enables strategic decisions. Our training courses combine theoretical knowledge with practical use cases and cover all relevant dimensions of AI project evaluation.<\/p>\n<p>Our offering for leaders includes:<\/p>\n<ul>\n<li><strong>AI Manager qualification:<\/strong> From AI fundamentals through building an AI strategy to assessing AI use cases, change management, and AI governance including ISO 42001<\/li>\n<li><strong>ISO 42001 AI Officer:<\/strong> Specialised training for everyone who wants to build or take responsibility for an AI management system in their organisation<\/li>\n<li><strong>Flexible formats:<\/strong> In-person seminars, online live training, and in-house company training that fit into everyday professional life<\/li>\n<li><strong>Certified trainers:<\/strong> All our trainers are active practitioners and bring real project experience into the classroom<\/li>\n<\/ul>\n<p>If you want not just to accompany AI projects as a leader but to actively shape them, you will find the right development format with us. Discover our <a href=\"https:\/\/www.mitsm.de\/schulung\/ki-kompetenz\/\">training offering<\/a> now and take the next step in your AI transformation.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>KI-Projekte scheitern oft nicht an der Technik \u2013 erfahren Sie, wie F\u00fchrungskr\u00e4fte systematisch bewerten und entscheiden.<\/p>\n","protected":false},"featured_media":85048,"parent":0,"menu_order":0,"template":"","tags":[],"knowledge_taxonomy":[3926],"class_list":["post-88709","knowledge","type-knowledge","status-publish","has-post-thumbnail","hentry","knowledge_taxonomy-wissenssammlung-kuenstliche-intelligenz"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM<\/title>\n<meta name=\"description\" content=\"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung &amp; Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM\" \/>\n<meta property=\"og:description\" content=\"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung &amp; Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/\" \/>\n<meta property=\"og:site_name\" content=\"mITSM\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/mITSM.ITSM\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-08-21T08:57:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.mitsm.de\/wp-content\/uploads\/2026\/06\/ki-projekt-bewertung-executive-matrix-muenchen.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1024\" \/>\n\t<meta property=\"og:image:height\" content=\"768\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@mITSM_GmbH\" \/>\n<meta name=\"twitter:label1\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data1\" content=\"13\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/\",\"url\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/\",\"name\":\"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mitsm.de\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ki-projekt-bewertung-executive-matrix-muenchen.webp\",\"datePublished\":\"2026-07-10T06:00:00+00:00\",\"dateModified\":\"2026-08-21T08:57:23+00:00\",\"description\":\"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung & Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.mitsm.de\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ki-projekt-bewertung-executive-matrix-muenchen.webp\",\"contentUrl\":\"https:\\\/\\\/www.mitsm.de\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ki-projekt-bewertung-executive-matrix-muenchen.webp\",\"width\":1024,\"height\":768,\"caption\":\"Gesch\u00e4ftsmann bei der Arbeit im B\u00fcro mit Blick auf die Stadt im Hintergrund.\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.mitsm.de\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Wissen\",\"item\":\"https:\\\/\\\/www.mitsm.de\\\/wissen\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#website\",\"url\":\"https:\\\/\\\/www.mitsm.de\\\/\",\"name\":\"mITSM\",\"description\":\"Schulung und Beratung\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.mitsm.de\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"de\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#organization\",\"name\":\"mITSM GmbH\",\"url\":\"https:\\\/\\\/www.mitsm.de\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.mitsm.de\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/m-Logo-mITSM-Claim.png\",\"contentUrl\":\"https:\\\/\\\/www.mitsm.de\\\/wp-content\\\/uploads\\\/2022\\\/02\\\/m-Logo-mITSM-Claim.png\",\"width\":883,\"height\":225,\"caption\":\"mITSM GmbH\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mitsm.de\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/mITSM.ITSM\\\/\",\"https:\\\/\\\/x.com\\\/mITSM_GmbH\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/mitsm-gmbh\\\/\",\"https:\\\/\\\/www.youtube.com\\\/channel\\\/UCbcMiyXGY1oRGDVw4B5ETfQ\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM","description":"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung & Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/","og_locale":"de_DE","og_type":"article","og_title":"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM","og_description":"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung & Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.","og_url":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/","og_site_name":"mITSM","article_publisher":"https:\/\/www.facebook.com\/mITSM.ITSM\/","article_modified_time":"2026-08-21T08:57:23+00:00","og_image":[{"width":1024,"height":768,"url":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2026\/06\/ki-projekt-bewertung-executive-matrix-muenchen.webp","type":"image\/webp"}],"twitter_card":"summary_large_image","twitter_site":"@mITSM_GmbH","twitter_misc":{"Gesch\u00e4tzte Lesezeit":"13\u00a0Minuten"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/","url":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/","name":"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig? - mITSM","isPartOf":{"@id":"https:\/\/www.mitsm.de\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/#primaryimage"},"image":{"@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2026\/06\/ki-projekt-bewertung-executive-matrix-muenchen.webp","datePublished":"2026-07-10T06:00:00+00:00","dateModified":"2026-08-21T08:57:23+00:00","description":"KI-Projekte richtig bewerten: 4 Kernkriterien, ROI-Messung & Risiken \u2013 damit F\u00fchrungskr\u00e4fte fundierte Entscheidungen treffen und Ressourcen gezielt einsetzen.","breadcrumb":{"@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/#breadcrumb"},"inLanguage":"de","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/"]}]},{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/#primaryimage","url":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2026\/06\/ki-projekt-bewertung-executive-matrix-muenchen.webp","contentUrl":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2026\/06\/ki-projekt-bewertung-executive-matrix-muenchen.webp","width":1024,"height":768,"caption":"Gesch\u00e4ftsmann bei der Arbeit im B\u00fcro mit Blick auf die Stadt im Hintergrund."},{"@type":"BreadcrumbList","@id":"https:\/\/www.mitsm.de\/wissen\/wie-bewertet-man-ki-projekte-als-fuehrungskraft-richtig\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.mitsm.de\/"},{"@type":"ListItem","position":2,"name":"Wissen","item":"https:\/\/www.mitsm.de\/wissen\/"},{"@type":"ListItem","position":3,"name":"Wie bewertet man KI-Projekte als F\u00fchrungskraft richtig?"}]},{"@type":"WebSite","@id":"https:\/\/www.mitsm.de\/#website","url":"https:\/\/www.mitsm.de\/","name":"mITSM","description":"Schulung und Beratung","publisher":{"@id":"https:\/\/www.mitsm.de\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mitsm.de\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"de"},{"@type":"Organization","@id":"https:\/\/www.mitsm.de\/#organization","name":"mITSM GmbH","url":"https:\/\/www.mitsm.de\/","logo":{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/www.mitsm.de\/#\/schema\/logo\/image\/","url":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2022\/02\/m-Logo-mITSM-Claim.png","contentUrl":"https:\/\/www.mitsm.de\/wp-content\/uploads\/2022\/02\/m-Logo-mITSM-Claim.png","width":883,"height":225,"caption":"mITSM GmbH"},"image":{"@id":"https:\/\/www.mitsm.de\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/mITSM.ITSM\/","https:\/\/x.com\/mITSM_GmbH","https:\/\/www.linkedin.com\/company\/mitsm-gmbh\/","https:\/\/www.youtube.com\/channel\/UCbcMiyXGY1oRGDVw4B5ETfQ"]}]}},"acf":[],"_links":{"self":[{"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/knowledge\/88709","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/knowledge"}],"about":[{"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/types\/knowledge"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/media\/85048"}],"wp:attachment":[{"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/media?parent=88709"}],"wp:term":[{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/tags?post=88709"},{"taxonomy":"knowledge_taxonomy","embeddable":true,"href":"https:\/\/www.mitsm.de\/api\/wp\/v2\/knowledge_taxonomy?post=88709"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}